Ionosphere tomography using wavelet neural network and particle swarm optimization training algorith...
Ionosphere tomography using wavelet neural network and particle swarm optimization training algorithm in Iranian case study
About this item
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Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Computerized tomography provides valuable information for imaging the ionospheric electron density distribution. We use a wavelet neural network with a particle swarm optimization training algorithm to solve pixel-based ionospheric tomography. This new method is called ionospheric tomography based on the neural network (ITNN). In this method, verti...
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Full title
Ionosphere tomography using wavelet neural network and particle swarm optimization training algorithm in Iranian case study
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_journals_2259286965
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2259286965
Other Identifiers
ISSN
1080-5370
E-ISSN
1521-1886
DOI
10.1007/s10291-017-0614-9
